Pacifico, Antonio (2020): Structural Panel Bayesian VAR with Multivariate Time-varying Volatility to jointly deal with Structural Changes, Policy Regime Shifts, and Endogeneity Issues. Forthcoming in: Econometrics , Vol. NA, No. Computational Econometrics and Finance (2021): pp. 1-34.
Pacifico, Antonio (2020): A Two-step System for Hierarchical Bayesian Dynamic Panel Data to deal with Endogeneity Issues, Structural Model Uncertainty, and Causal Relationship. Forthcoming in: The European Journal of Health Economics , Vol. NA, No. Health Economics (2021): pp. 1-30.
Pacifico, Antonio (2021): High Dimensional Dynamic Panel with Correlated Random Effects: A Semiparametric Hierarchical Empirical Bayes Approach. Forthcoming in: NA , Vol. NA, No. NA : pp. 1-29.
Pacifico, Antonio (2022): Semiparametric forecasting problem in high dimensional dynamic panel with correlated random effects: a hierarchical empirical Bayes approach.
Pacifico, Antonio (2022): High Dimensional Dynamic Panel with Correlated Random Effects: A Semiparametric Hierarchical Empirical Bayes Approach. Forthcoming in: NA , Vol. NA, No. NA : pp. 1-35.
Pacifico, Antonio (2022): Hierarchical Bayesian Fuzzy Clustering Approach for High Dimensional Linear Time-Series. Forthcoming in: NA , Vol. NA, No. Fuzzy Clustering Analysis : pp. 1-30.
Pacifico, Antonio and Giraldi, Luca and Cedrola, Elena (2023): Evaluating Student Performance in E-learning Systems: A Two-step Robust Bayesian Multiclass Procedure. Forthcoming in: NA , Vol. NA, No. NA : pp. 1-22.
Contact us: mpra@ub.uni-muenchen.de
This repository has been built using EPrints software.
MPRA is a RePEc service hosted by 
.
![[up]](/style/images/multi_up.png)
Up a level